An Iot-based data analysis system: a case study on tomato cultivation under different irrigation regimes

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cg.contributor.affiliationUniversity of Parmaen_US
cg.contributor.donorNational Recovery and Resilience Plan (NRRP)en_US
cg.contributor.donorEuropean Union – NextGenerationEUen_US
cg.identifier.doihttps://doi.org/10.1016/j.compag.2024.109660en_US
cg.identifier.iwmilibraryH053641en_US
cg.identifier.urlhttps://www.sciencedirect.com/science/article/pii/S0168169924010512/pdfft?md5=0ee6c2d03ea22abdd45ba05215af6c74&pid=1-s2.0-S0168169924010512-main.pdfen_US
cg.issn0168-1699en_US
cg.journalComputers and Electronics in Agricultureen_US
dc.contributor.authorGalaverni, M.en_US
dc.contributor.authorOddi, G.en_US
dc.contributor.authorPreite, L.en_US
dc.contributor.authorBelli, L.en_US
dc.contributor.authorDavoli, L.en_US
dc.contributor.authorMarchioni, I.en_US
dc.contributor.authorRodolfi, M.en_US
dc.contributor.authorSolari; F.en_US
dc.contributor.authorBeghe, D.en_US
dc.contributor.authorGanino, T.en_US
dc.contributor.authorVignali, G.en_US
dc.contributor.authorFerrari, G.en_US
dc.date.accessioned2025-03-28T10:26:21Zen_US
dc.date.available2025-03-28T10:26:21Zen_US
dc.identifier.urihttps://hdl.handle.net/10568/173918en_US
dc.titleAn Iot-based data analysis system: a case study on tomato cultivation under different irrigation regimesen_US
dcterms.abstractThe exploitation of modern technologies in heterogeneous farming scenarios with different crops cultivation is nowadays an effective solution to implement the concept of Smart Agriculture (SA). Following this approach, in this study the tomato plants’ response to different irrigation regimes is investigated through the implementation of an Internet of Things (IoT)-oriented SA data collection and monitoring system. In particular, the experimentation is conducted on tomatoes grown at three different irrigation regimes: namely, at 100%, 60%, and 30% of the Italian irrigation recommendation service, denoted as Irriframe. The proposed platform, denoted as Agriware, is able to: (i) evaluate information from heterogeneous data sources, (ii) calculate agronomic indicators (e.g., Growing Degree Days, GDD), and (iii) monitor on-field parameters (e.g., water consumption). Different plant-related parameters have been collected to assess the response to water stress (e.g., Soil Plant Analysis Development (SPAD), chlorophyll content, fluorescence, and others), along with leaf color and final production evaluations. The obtained results show that the best irrigation regime, in terms of plant health and productivity, corresponds to 60% of Irriframe, allowing significant water savings for the cultivation.en_US
dcterms.accessRightsOpen Accessen_US
dcterms.bibliographicCitationGalaverni, M.; Oddi, G.; Preite, L.; Belli, L.; Davoli, L.; Marchioni, I.; Rodolfi, M.; Solari; F.; Beghe, D.; Ganino, T.; Vignali, G.; Ferrari, G. 2025. An Iot-based data analysis system: a case study on tomato cultivation under different irrigation regimes. Computers and Electronics in Agriculture, 229:109660. [doi:https://doi.org/10.1016/j.compag.2024.109660]en_US
dcterms.issued2024-12-01en_US
dcterms.languageenen_US
dcterms.licenseCC-BY-4.0en_US
dcterms.typeJournal Articleen_US

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